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On the Impact of Dataset Quality in Multiview BEV Mapping

Bird’s eye view (BEV) mapping from multicamera systems has emerged as an important form of ground-level remote sensing for constructing geospatial representations in autonomous navigation and urban analytics. Although recent advances in deep learning architectures have expanded the capabiliti...

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Principais autores: Alaa Eddine Ben Zekri, Reza Bahmanyar, Houda Chaabouni-Chouayakh
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2026-01-01
סדרה:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:
Autonomous driving
bird’s eye view (BEV) mapping
domain shift
geospatial data quality
synthetic dataset
urban mobility
גישה מקוונת:https://ieeexplore.ieee.org/document/11556914/
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